Data Migration Engineer

Capgemini•Dallas, TX

3h•Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. This role involves pipeline migration, data transfer, stakeholder engagement, and consumption pattern migration. Candidates must have a rigorous approach to data validation and work with reconciliation frameworks to ensure migrated data is functionally equivalent to production flows. The Data Engineer will also need to work with internal data management platforms team and must have an aptitude for learning new workflows and language constructs as necessary.

Requirements

Minimum of 3-5 years of professional hands on keyboard coding experience in a collaborative team based environment
Ability to trouble shoot SQL and basic scripting experience.
Professional proficiency in Python or Java
Deep familiarity with the full Software Development Life Cycle SDLC and CICD best practices
K8s deployment experience
Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation
Temporal Data Modeling Managing state changes over time eg SCD Type 2
Schema Management Expertise in Schema Evolution Ref Iceberg Apache and enforcement strategies
Performance Optimization Advanced knowledge of data partitioning and clustering
Architectural Theory Balancing Normalization vs Denormalization and the strategic use of Natural vs Surrogate Keys

Nice To Haves

While candidates are not expected to be experts in every tool the collective team must cover the following technologies, Extraction Logic, Kafka ANSI SQL FTP Apache Spark

Responsibilities

Logic Scheduling Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
Executing the physical migration of underlying datasets while ensuring data integrity
Acting as a technical liaison to internal clients facilitating handoff and signoff conversations with data owners to ensure migrated assets meet business requirements
Translating and optimizing legacy SQL and Spark-based consumption patterns raw and modeled for compatibility with Snowflake and Iceberg.
Understand usage patterns to deliver the required data products.
Acting as a technical liaison to internal clients facilitating handoff and signoff conversations with data owners to ensure migrated assets meet business requirements.
A rigorous approach to data validation is required Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows.
Data Engineer will also need to work with internal data management platforms team and must have an aptitude for learning new workflows and language constructs as necessary

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility